Extract Table Spec

Node extracting the meta information from the input table (column
names, types, etc.) The meta information is referred to as the
table data specification and contains information such as column
names, types, domain values (list of possible values for
categorical columns) and lower and upper bounds. It also contains
the information which of the columns have a view handler associated
(optional operation). Each column in the input table is represented
as a row in the output. This node can be used in conjunction with
the Insert Column Header node, where the column names are extracted
from the input table, then modified in the workflow and later merged
back into the main table.

Options

Extract property handlers

If checked the information which of the columns have property
handlers e.g. color handler associated is extracted, otherwise not.

Possible values as collection

If checked, the possible values of each columns are extracted as
possible values, otherwise not.

Installation

To use this node in KNIME, install
KNIME Core
from the following update site:

KNIME 4.0

Wait a sec! You want to explore and install nodes even faster? We highly recommend our
NodePit for KNIME
extension for your KNIME Analytics Platform.

Developers

You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.

Contact

Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well?
Do you think, the search results could be improved or something is missing?
Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com,
follow @NodePit on Twitter,
or chat on Gitter!

Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.

NodePit is the world’s first search engine that allows you to easily search, find and install KNIME nodes and workflows. Explore the KNIME community’s variety. Start mining and follow @NodePit on Twitter.